Module gopy.sorting.selection
Selection sort is a simple sorting algorithm. This sorting algorithm is an in-place comparison-based algorithm in which the list is divided into two parts, the sorted part at the left end and the unsorted part at the right end. Initially, the sorted part is empty and the unsorted part is the entire list.
The smallest element is selected from the unsorted array and swapped with the leftmost element, and that element becomes a part of the sorted array. This process continues moving unsorted array boundary by one element to the right.
This algorithm is not suitable for large data sets as its average and worst case complexities are of Ο(n2), where n is the number of items.
Algorithm
Step 1 − Set MIN to location 0
Step 2 − Search the minimum element in the list
Step 3 − Swap with value at location MIN
Step 4 − Increment MIN to point to next element
Step 5 − Repeat until list is sorted
Pseudocode
procedure selection sort
list : array of items
n : size of list
for i = 1 to n - 1
/* set current element as minimum*/
min = i
/* check the element to be minimum */
for j = i+1 to n
if list[j] < list[min] then
min = j;
end if
end for
/* swap the minimum element with the current element*/
if indexMin != i then
swap list[min] and list[i]
end if
end for
end procedure
Expand source code
"""
Selection sort is a simple sorting algorithm. This sorting algorithm is an in-place
comparison-based algorithm in which the list is divided into two parts, the sorted
part at the left end and the unsorted part at the right end. Initially, the sorted
part is empty and the unsorted part is the entire list.
The smallest element is selected from the unsorted array and swapped with the
leftmost element, and that element becomes a part of the sorted array. This process
continues moving unsorted array boundary by one element to the right.
This algorithm is not suitable for large data sets as its average and worst case
complexities are of Ο(n2), where n is the number of items.
### Algorithm
```
Step 1 − Set MIN to location 0
Step 2 − Search the minimum element in the list
Step 3 − Swap with value at location MIN
Step 4 − Increment MIN to point to next element
Step 5 − Repeat until list is sorted
```
### Pseudocode
```python
procedure selection sort
list : array of items
n : size of list
for i = 1 to n - 1
/* set current element as minimum*/
min = i
/* check the element to be minimum */
for j = i+1 to n
if list[j] < list[min] then
min = j;
end if
end for
/* swap the minimum element with the current element*/
if indexMin != i then
swap list[min] and list[i]
end if
end for
end procedure
```
"""
def sort(array):
for i in range(0, len(array) - 1):
smallest = i
for j in range(i + 1, len(array)):
if array[j] < array[smallest]:
smallest = j
array[i], array[smallest] = array[smallest], array[i]
return array
Functions
def sort(array)
-
Expand source code
def sort(array): for i in range(0, len(array) - 1): smallest = i for j in range(i + 1, len(array)): if array[j] < array[smallest]: smallest = j array[i], array[smallest] = array[smallest], array[i] return array